SIGIR presents three awards. The Gerard Salton Award is presented every three years to an individual who has made "... significant, sustained and continuing contributions to research in information retrieval". The Best Paper Award is presented to the individual(s) judged by a separate awards committee to have written the best paper appearing in the annual conference proceedings. The Best Student Paper is presented to the author of the best paper written solely or primarily by a student.
SIGIR also co-sponsors (with SIGWEB) the Vannevar Bush award, for the best paper at the JCDL conference.
This award honors those who have made "... significant, sustained and continuing contributions to research in information retrieval".
C.J. "Keith" van Rijsbergen
W. Bruce Croft
For... "Thirty years of significant, sustained and continuing contributions to research in information retrieval. Of special importance are the theoretical and empirical contributions to the development, refinement, and evaluation of probabilistic models of information retrieval."
The first part contains personal reflections of the author related to the major events and issues that formed his professional life and research agenda. The second, and major part, considers the broad aspects of information science as a field: origin, problems addressed, areas of study, structure, specialties, paradigm splits, and education problems. The third part discusses the limits of information science in terms of internal limits imposed by the activities in the field and external limits imposed by the very human nature of information processing and use. Throughout, issues related to users and use are transposed, as being of primary concern.
Karen Spärck Jones
This paper is in two parts, following the suggestion that I first comment on my own past experience in information retrieval, and then present my views on the present and future.
"About the future of automatic information retrieval"See also SIGIR Forum 31(1) Salton memorial issue.
The Best Paper Award is presented to the individual(s) judged by an awards committee to have written the best paper appearing in the annual conference proceedings.
The Best Student Paper is presented to the author of the best paper written solely or primarily by a student.
|Top-k learning to rank: labeling, ranking and evaluation
Selected for proposing a novel top-k labeling strategy for efficiently obtaining labeled data for learning to rank in information retrieval and proposing a novel learning to rank method to effectively learn from such a new form of relevance judgments.
Alexander J. Smola
|Collaborative Competitive Filtering: Learning Recommender using Context of User Choice|
Ioannis Arapakis (student)
Joemon M. Jose
|A Comparison of General vs. Personalized Affective Models for the Prediction of Topical Relevance|
Jaime Arguello (student)
|Sources of evidence for vertical selection|
|BrowseRank: Letting Web Users Vote for Page Importance|
D. Sculley (student)
Gabriel Wachman (student)
|Relaxed online Support Vector Machines for spam filtering|
Ben Carterette (student)
|Minimal Test Collections for Retrieval Evaluation|
Donald Metzler (student)
|A Markov random field model for term dependencies|
|A Formal Study of Information Retrieval Heuristics|
Stefanie Tellex (student)
|Quantitative evaluation of passage retrieval algorithms for question answering|
Yi Zhang (student)
|Novelty and redundancy detection in adaptive filtering|
Adnike Lam-Adesina (student)
|Applying Summarization Techniques for Term Selection in Relevance Feedback|
Ilmerio Reis da Silva (student)
Pavel Calado (student)
|Link-based and content-based evidential information in a belief network model.|
Owen de Kretser
|Efficient document presentation with a locality-based similarity heuristic|
|New techniques for open-vocabulary spoken document retrieval|
|Phrasal translation and query expansion techniques for cross-language information retrieval|
|Pivoted length document normalization|
|A comparison of classifiers and document representations for the routing problem.|
|Fast evaluation of structured queries for information retrieval.|
|Ultra-summarization: A statistical approach to generating highly condensed non-extractive summaries|
|Automatic acquisition of phrasal knowledge for English-Chinese bilingual information retrieval|
|An investigation of subword unit representations for spoken document retrieval|
|2007 (co-winners)||Krisztian Balog||People search in the enterprise|
|Georg Buscher||Attention-based information retrieval|
|Probabilistic Relevance Models for Collaborative Filtering|
|Advancing Corpus-Based Bilingual Retrieval|
|2004 (co-winners)||Jochen Leidner||Toponym Resolution in Text: "Which Sheffield is it?"|
|Paul Ogilvie||Understanding combination of evidence using generative probabilistic models for information retrieval|
Best paper at the JCDL conference (more information)